Incremental Modeling of Supply Chain to Improve Performance Measures
Szczepan Górtowski , Elżbieta Lewańska
AbstractSupply chain modeling is one of the key tools to improve its performance measures. This research follows the principles of Design Science Research (DSR). The paper presents the concept of incremental modeling, which helps quick adaptation of the suply chain model. This method uses Data Science methods and Big Data. Evaluation of the method will be conducted on the franchise network. Hence, new performance measures classification that contains measures specific to the needs of the franchise network, has been developed. In particular measures that allow assessing the level of cooperation around conflicting goals of franchise network participants are included. The results will improve the cooperation of entities within franchise networks.
|Publication size in sheets||0.55|
|Book||Abramowicz Witold, Corchuelo Rafael (eds.): Business Information Systems Workshops: BIS 2019 International Workshops Seville, Spain, June 26-28, 2019, Revised Papers, Lecture Notes in Business Information Processing, vol. 373, 2019, Springer, ISBN 978-3-030-36690-2, [978-3-030-36691-9], 698 p., DOI:10.1007/978-3-030-36691-9|
|Keywords in Polish||łańcuch dostaw, mierniki efektywności, projektowanie łańcucha dostaw, modelowanie łańcucha dostaw, Big Data, Data Science, franczyza, retail|
|Keywords in English||Supply chain, Performance measures, Supply chain design, Supply chain modeling, Big data, Data Science, Franchising, Retail|
|ASJC Classification||; ; ; ; ;|
|Score||= 70.0, 22-04-2020, ChapterFromConference|
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